- Popular factorial method to study sets of variables that are collected on the same set of observations
- Generalization of principal component analysis
- Provides factor loadings to indicate the impact of variables on components
- Factor scores (component scores in PCA) are returned to explain the effect of each observation on the factors
- Analysis provides a means of quantifying a level of agreement or disagreement between sets of variables
install.packages("devtools")
- Load the devtools package:
library(devtools)
- Install from the github repository:
install_github("oreluk/MFA")
You can view a demo of the Shiny App on YouTube:
https://www.youtube.com/watch?v=tZbjV75L6F8
Or, you can check out the app online here:
https://stephanie-wuerth.shinyapps.io/MFA-wine/
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This R package was created for a STAT243 Project. A description of the assignment can be found here. Package was written by Yulin Chen, Stephanie Wuerth, Eren Bilir, and Jim Oreluk.